Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Ant Colony Optimization
Chicago spectrum occupancy measurements & analysis and a long-term studies proposal
TAPAS '06 Proceedings of the first international workshop on Technology and policy for accessing spectrum
Dynamic Spectrum Access with QoS and Interference Temperature Constraints
IEEE Transactions on Mobile Computing
A Socio-Cognitive Particle Swarm Optimization for Multi-Dimensional Knapsack Problem
ICETET '08 Proceedings of the 2008 First International Conference on Emerging Trends in Engineering and Technology
Essentials of Modern Spectrum Management
Essentials of Modern Spectrum Management
Optimization of power allocation for interference cancellation with particle swarm optimization
IEEE Transactions on Evolutionary Computation - Special issue on computational finance and economics
A survey on bio-inspired networking
Computer Networks: The International Journal of Computer and Telecommunications Networking
Particle Swarm Optimization and Intelligence: Advances and Applications
Particle Swarm Optimization and Intelligence: Advances and Applications
Access Strategies for Spectrum Sharing in Fading Environment: Overlay, Underlay, and Mixed
IEEE Transactions on Mobile Computing
A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems
Applied Soft Computing
A novel particle swarm optimization algorithm with adaptive inertia weight
Applied Soft Computing
How much spectrum sharing is optimal in cognitive radio networks?
IEEE Transactions on Wireless Communications
Handling multiple objectives with particle swarm optimization
IEEE Transactions on Evolutionary Computation
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems
IEEE Transactions on Evolutionary Computation
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It is recognized that Static Spectrum Allocation Policy currently used in most countries has led to an inefficient use of spectrum. It means that available spectrum is underutilized over certain bands while in others remain scarce. In this context, Cognitive Radio technology is proposed to recycle bands in order to solve the problem of spectrum scarcity and use the limited spectrum resource as effectively as possible. This work presents the application and performance comparison of three variants of Particle Swarm Optimization (PSO) namely Binary Particle Swarm Optimization (BPSO), Socio Cognitive Particle Swarm Optimization (SCPSO) and Derivation 0 in a Cognitive Radio Network. We aim at maximizing the sum throughput for the number of secondary links that can be admitted in the Cognitive Radio Network in the presence of primary links under interference constraints.